Journal
Segmentation and Classification of Skin Lesions Based on Texture Features
| Identifier | --bgohilavan-47 |
|---|---|
| Penulis / Pengarang | B.Gohila vani, A.Selvaraj, M.Vijaya priya |
| Kata Kunci | Texture-based skin lesion segmentation Feature selection Probabilistic Neural Network (PNN) |
| Tanggal Publikasi | 02 Des 2014 |
| Bahasa | Bahasa Indonesia |
| Abstrak / Deskripsi | Skin cancer is the most common type of cancer and represents 50% all new cancers detected each year. The deadliest form of skin cancer is melanoma and its incidence has been rising at a rate of 3% per year. Due to the costs for dermatologists to monitor every patient, there is a need for an computerized system to evaluate a patient”˜s risk of melanoma using images of their skin lesions captured using a standard digital camera. In Proposed method, a novel texture-based skin lesion segmentation algorithm is used and to classify the stages of skin cancer using probabilistic neural network. Probabilistic neural network will give better performance in this system to detect a lot of stages in skin lesion. To extract the characteristics from various skin lesions and its united features gives better classification with new approached probabilistic neural network. There are five different skin lesions commonly grouped as Actinic Keratosis (AK), Basal Cell Carcinoma (BCC), Melanocytic Nevus / Mole (ML), Squamous Cell Carcinoma (SCC), Seborrhoeic Keratosis (SK). The system will be used to classify the queried images automatically to decide the stages of abnormality. The lesion diagnosis system involves two stages of process such as training and classification. Feature selection is used in the classified framework that chooses the most relevant feature subsets at each node of the hierarchy. An automatic classifier will be used for classification based on learning with some training samples of each stage. The accuracy of the proposed neural scheme is higher in discriminating cancer and pre-malignant lesions from benign skin lesions, and it attains an total classification accuracy is high of skin lesions. |
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Skin cancer is the most common type of cancer and represents 50% all new cancers detected each year. The deadl…
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